Daniel Langr
Impact in
- Computational Mathematics top 10%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in ⓘ
-
- Parallel Computing and Optimization Techniques 22
- Co-authors
- Pavel Tvrdı́k (14 shared papers)T. Dytrych (27 shared papers)J. P. Draayer (18 shared papers)Kristina D. Launey (20 shared papers)James P. Vary (5 shared papers)Pieter Maris (4 shared papers)M. A. Caprio (2 shared papers)Ümit V. Çatalyürek (2 shared papers)
- Journals
- Computer Physics Communications (4 papers)Physical Review Letters (3 papers)The International Journal of High Performance Computing Applications (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)ACM Transactions on Mathematical Software (1 paper)
- Partner nations
- CzechiaUnited StatesJapan
In The Last Decade
Daniel Langr
43 papers receiving 487 citations
Peers
Comparison fields: 5 of 43
- Computational Mathematics 16
- Hardware and Architecture 147
- Nuclear and High Energy Physics 283
- Spectroscopy 113
- Computer Networks and Communications 119
Countries citing papers authored by Daniel Langr
This map shows the geographic impact of Daniel Langr's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Langr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Langr more than expected).
Fields of papers citing papers by Daniel Langr
This network shows the impact of papers produced by Daniel Langr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Langr. The network helps show where Daniel Langr may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Langr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 95 | |
| 2 | 2015 | 85 | |
| 3 | 2020 | 67 | |
| 4 | 2016 | 29 | |
| 5 | 2012 | 17 | |
| 6 | 2022 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 14 | |
| 10 | Adaptive-blocking hierarchical storage format for sparse matrices | 2012 | 13 |
| 11 | 2012 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2005 | 11 | |
| 15 | 2022 | 9 | |
| 16 | Storing sparse matrices to files in the adaptive-blocking hierarchical storage format | 2013 | 6 |
| 17 | 2014 | 6 | |
| 18 | 2013 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2020 | 5 |
About Daniel Langr
Daniel Langr is a scholar working on Hardware and Architecture, Computational Mathematics, Nuclear and High Energy Physics, Computer Networks and Communications and Spectroscopy, having authored 46 papers that have together received 494 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Nuclear physics research studies (18 papers), Quantum Chromodynamics and Particle Interactions (17 papers), Advanced Data Storage Technologies (15 papers), Distributed and Parallel Computing Systems (13 papers), Advanced NMR Techniques and Applications (10 papers), Matrix Theory and Algorithms (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computational Mathematics (16 citations), Hardware and Architecture (147 citations), Nuclear and High Energy Physics (283 citations), Spectroscopy (113 citations) and Computer Networks and Communications (119 citations). Daniel Langr has collaborated with scholars based in Czechia, United States and Japan. Frequent co-authors include Pavel Tvrdı́k, T. Dytrych, J. P. Draayer, Kristina D. Launey, James P. Vary, Pieter Maris, M. A. Caprio, Ümit V. Çatalyürek, Érik Saule and Masha Sosonkina. Their work appears in journals such as Computer Physics Communications, Physical Review Letters, The International Journal of High Performance Computing Applications, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Mathematical Software.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.